Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 157 |
| Missing cells | 51 |
| Missing cells (%) | 2.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 19.8 KiB |
| Average record size in memory | 128.8 B |
Variable types
| Categorical | 4 |
|---|---|
| Numeric | 12 |
Model has a high cardinality: 156 distinct values | High cardinality |
Latest_Launch has a high cardinality: 130 distinct values | High cardinality |
four_year_resale_value is highly overall correlated with Price_in_thousands and 6 other fields | High correlation |
Price_in_thousands is highly overall correlated with four_year_resale_value and 6 other fields | High correlation |
Engine_size is highly overall correlated with four_year_resale_value and 9 other fields | High correlation |
Horsepower is highly overall correlated with four_year_resale_value and 8 other fields | High correlation |
Wheelbase is highly overall correlated with Engine_size and 5 other fields | High correlation |
Width is highly overall correlated with Engine_size and 7 other fields | High correlation |
Length is highly overall correlated with Engine_size and 5 other fields | High correlation |
Curb_weight is highly overall correlated with four_year_resale_value and 10 other fields | High correlation |
Fuel_capacity is highly overall correlated with four_year_resale_value and 10 other fields | High correlation |
Fuel_efficiency is highly overall correlated with four_year_resale_value and 9 other fields | High correlation |
Power_perf_factor is highly overall correlated with four_year_resale_value and 7 other fields | High correlation |
Vehicle_type is highly overall correlated with Curb_weight and 2 other fields | High correlation |
four_year_resale_value has 36 (22.9%) missing values | Missing |
Price_in_thousands has 2 (1.3%) missing values | Missing |
Curb_weight has 2 (1.3%) missing values | Missing |
Fuel_efficiency has 3 (1.9%) missing values | Missing |
Power_perf_factor has 2 (1.3%) missing values | Missing |
Model is uniformly distributed | Uniform |
Latest_Launch is uniformly distributed | Uniform |
Sales_in_thousands has unique values | Unique |
Reproduction
| Analysis started | 2023-02-10 07:33:56.793836 |
|---|---|
| Analysis finished | 2023-02-10 07:34:28.872293 |
| Duration | 32.08 seconds |
| Software version | ydata-profiling vv4.0.0 |
| Download configuration | config.json |
Manufacturer
Categorical
| Distinct | 30 |
|---|---|
| Distinct (%) | 19.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| Dodge | |
|---|---|
| Ford | |
| Toyota | 9 |
| Chevrolet | 9 |
| Mercedes-B | 9 |
| Other values (25) |
Length
| Max length | 10 |
|---|---|
| Median length | 8 |
| Mean length | 6.7070064 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1053 |
|---|---|
| Distinct characters | 41 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 1.3% |
Sample
| 1st row | Acura |
|---|---|
| 2nd row | Acura |
| 3rd row | Acura |
| 4th row | Acura |
| 5th row | Audi |
Common Values
| Value | Count | Frequency (%) |
| Dodge | 11 | 7.0% |
| Ford | 11 | 7.0% |
| Toyota | 9 | 5.7% |
| Chevrolet | 9 | 5.7% |
| Mercedes-B | 9 | 5.7% |
| Mitsubishi | 7 | 4.5% |
| Nissan | 7 | 4.5% |
| Chrysler | 7 | 4.5% |
| Volvo | 6 | 3.8% |
| Oldsmobile | 6 | 3.8% |
| Other values (20) | 75 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| dodge | 11 | 7.0% |
| ford | 11 | 7.0% |
| toyota | 9 | 5.7% |
| chevrolet | 9 | 5.7% |
| mercedes-b | 9 | 5.7% |
| mitsubishi | 7 | 4.5% |
| nissan | 7 | 4.5% |
| chrysler | 7 | 4.5% |
| volvo | 6 | 3.8% |
| oldsmobile | 6 | 3.8% |
| Other values (20) | 75 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 96 | 9.1% |
| o | 94 | 8.9% |
| r | 70 | 6.6% |
| s | 65 | 6.2% |
| a | 63 | 6.0% |
| i | 61 | 5.8% |
| l | 57 | 5.4% |
| d | 53 | 5.0% |
| u | 47 | 4.5% |
| t | 41 | 3.9% |
| Other values (31) | 406 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 872 | |
| Uppercase Letter | 172 | 16.3% |
| Dash Punctuation | 9 | 0.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 96 | |
| o | 94 | |
| r | 70 | 8.0% |
| s | 65 | 7.5% |
| a | 63 | 7.2% |
| i | 61 | 7.0% |
| l | 57 | 6.5% |
| d | 53 | 6.1% |
| u | 47 | 5.4% |
| t | 41 | 4.7% |
| Other values (13) | 225 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 25 | |
| C | 21 | |
| B | 16 | |
| P | 13 | 7.6% |
| V | 12 | 7.0% |
| D | 11 | 6.4% |
| F | 11 | 6.4% |
| S | 9 | 5.2% |
| T | 9 | 5.2% |
| L | 9 | 5.2% |
| Other values (7) | 36 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 9 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1044 | |
| Common | 9 | 0.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 96 | 9.2% |
| o | 94 | 9.0% |
| r | 70 | 6.7% |
| s | 65 | 6.2% |
| a | 63 | 6.0% |
| i | 61 | 5.8% |
| l | 57 | 5.5% |
| d | 53 | 5.1% |
| u | 47 | 4.5% |
| t | 41 | 3.9% |
| Other values (30) | 397 |
Common
| Value | Count | Frequency (%) |
| - | 9 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1053 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 96 | 9.1% |
| o | 94 | 8.9% |
| r | 70 | 6.6% |
| s | 65 | 6.2% |
| a | 63 | 6.0% |
| i | 61 | 5.8% |
| l | 57 | 5.4% |
| d | 53 | 5.0% |
| u | 47 | 4.5% |
| t | 41 | 3.9% |
| Other values (31) | 406 |
Model
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 156 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| Neon | 2 |
|---|---|
| Integra | 1 |
| Cutlass | 1 |
| Sentra | 1 |
| Altima | 1 |
| Other values (151) |
Length
| Max length | 14 |
|---|---|
| Median length | 12 |
| Mean length | 6.5541401 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1029 |
|---|---|
| Distinct characters | 60 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 155 ? |
|---|---|
| Unique (%) | 98.7% |
Sample
| 1st row | Integra |
|---|---|
| 2nd row | TL |
| 3rd row | CL |
| 4th row | RL |
| 5th row | A4 |
Common Values
| Value | Count | Frequency (%) |
| Neon | 2 | 1.3% |
| Integra | 1 | 0.6% |
| Cutlass | 1 | 0.6% |
| Sentra | 1 | 0.6% |
| Altima | 1 | 0.6% |
| Maxima | 1 | 0.6% |
| Quest | 1 | 0.6% |
| Pathfinder | 1 | 0.6% |
| Xterra | 1 | 0.6% |
| Frontier | 1 | 0.6% |
| Other values (146) | 146 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| grand | 4 | 2.3% |
| ram | 3 | 1.7% |
| coupe | 3 | 1.7% |
| town | 2 | 1.1% |
| cherokee | 2 | 1.1% |
| cabrio | 2 | 1.1% |
| montero | 2 | 1.1% |
| carrera | 2 | 1.1% |
| neon | 2 | 1.1% |
| sebring | 2 | 1.1% |
| Other values (153) | 153 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 96 | 9.3% |
| r | 90 | 8.7% |
| e | 89 | 8.6% |
| o | 60 | 5.8% |
| n | 58 | 5.6% |
| t | 50 | 4.9% |
| i | 48 | 4.7% |
| C | 42 | 4.1% |
| l | 38 | 3.7% |
| s | 33 | 3.2% |
| Other values (50) | 425 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 724 | |
| Uppercase Letter | 212 | 20.6% |
| Decimal Number | 61 | 5.9% |
| Space Separator | 20 | 1.9% |
| Dash Punctuation | 10 | 1.0% |
| Other Punctuation | 2 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 96 | |
| r | 90 | |
| e | 89 | |
| o | 60 | |
| n | 58 | |
| t | 50 | 6.9% |
| i | 48 | 6.6% |
| l | 38 | 5.2% |
| s | 33 | 4.6% |
| u | 30 | 4.1% |
| Other values (15) | 132 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 42 | |
| S | 32 | |
| L | 17 | 8.0% |
| M | 14 | 6.6% |
| A | 13 | 6.1% |
| R | 10 | 4.7% |
| V | 10 | 4.7% |
| G | 10 | 4.7% |
| E | 9 | 4.2% |
| T | 8 | 3.8% |
| Other values (13) | 47 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 26 | |
| 3 | 11 | |
| 4 | 8 | 13.1% |
| 7 | 4 | 6.6% |
| 2 | 4 | 6.6% |
| 8 | 4 | 6.6% |
| 5 | 3 | 4.9% |
| 6 | 1 | 1.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1 | |
| & | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 20 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 936 | |
| Common | 93 | 9.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 96 | 10.3% |
| r | 90 | 9.6% |
| e | 89 | 9.5% |
| o | 60 | 6.4% |
| n | 58 | 6.2% |
| t | 50 | 5.3% |
| i | 48 | 5.1% |
| C | 42 | 4.5% |
| l | 38 | 4.1% |
| s | 33 | 3.5% |
| Other values (38) | 332 |
Common
| Value | Count | Frequency (%) |
| 0 | 26 | |
| 20 | ||
| 3 | 11 | |
| - | 10 | 10.8% |
| 4 | 8 | 8.6% |
| 7 | 4 | 4.3% |
| 2 | 4 | 4.3% |
| 8 | 4 | 4.3% |
| 5 | 3 | 3.2% |
| . | 1 | 1.1% |
| Other values (2) | 2 | 2.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1029 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 96 | 9.3% |
| r | 90 | 8.7% |
| e | 89 | 8.6% |
| o | 60 | 5.8% |
| n | 58 | 5.6% |
| t | 50 | 4.9% |
| i | 48 | 4.7% |
| C | 42 | 4.1% |
| l | 38 | 3.7% |
| s | 33 | 3.2% |
| Other values (50) | 425 |
Sales_in_thousands
Real number (ℝ)
| Distinct | 157 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.998076 |
| Minimum | 0.11 |
|---|---|
| Maximum | 540.561 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 0.11 |
|---|---|
| 5-th percentile | 1.8708 |
| Q1 | 14.114 |
| median | 29.45 |
| Q3 | 67.956 |
| 95-th percentile | 185.3362 |
| Maximum | 540.561 |
| Range | 540.451 |
| Interquartile range (IQR) | 53.842 |
Descriptive statistics
| Standard deviation | 68.029422 |
|---|---|
| Coefficient of variation (CV) | 1.2836206 |
| Kurtosis | 17.557344 |
| Mean | 52.998076 |
| Median Absolute Deviation (MAD) | 20.468 |
| Skewness | 3.4085184 |
| Sum | 8320.698 |
| Variance | 4628.0023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 16.919 | 1 | 0.6% |
| 1.112 | 1 | 0.6% |
| 42.643 | 1 | 0.6% |
| 88.094 | 1 | 0.6% |
| 79.853 | 1 | 0.6% |
| 27.308 | 1 | 0.6% |
| 42.574 | 1 | 0.6% |
| 54.158 | 1 | 0.6% |
| 65.005 | 1 | 0.6% |
| 38.554 | 1 | 0.6% |
| Other values (147) | 147 |
| Value | Count | Frequency (%) |
| 0.11 | 1 | |
| 0.916 | 1 | |
| 0.954 | 1 | |
| 1.112 | 1 | |
| 1.28 | 1 | |
| 1.38 | 1 | |
| 1.526 | 1 | |
| 1.866 | 1 | |
| 1.872 | 1 | |
| 3.311 | 1 |
| Value | Count | Frequency (%) |
| 540.561 | 1 | |
| 276.747 | 1 | |
| 247.994 | 1 | |
| 245.815 | 1 | |
| 230.902 | 1 | |
| 227.061 | 1 | |
| 220.65 | 1 | |
| 199.685 | 1 | |
| 181.749 | 1 | |
| 175.67 | 1 |
four_year_resale_value
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 117 |
|---|---|
| Distinct (%) | 96.7% |
| Missing | 36 |
| Missing (%) | 22.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.072975 |
| Minimum | 5.16 |
|---|---|
| Maximum | 67.55 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 5.16 |
|---|---|
| 5-th percentile | 7.85 |
| Q1 | 11.26 |
| median | 14.18 |
| Q3 | 19.875 |
| 95-th percentile | 41.25 |
| Maximum | 67.55 |
| Range | 62.39 |
| Interquartile range (IQR) | 8.615 |
Descriptive statistics
| Standard deviation | 11.453384 |
|---|---|
| Coefficient of variation (CV) | 0.63372986 |
| Kurtosis | 5.7638559 |
| Mean | 18.072975 |
| Median Absolute Deviation (MAD) | 3.96 |
| Skewness | 2.2949155 |
| Sum | 2186.83 |
| Variance | 131.18001 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.75 | 2 | 1.3% |
| 18.225 | 2 | 1.3% |
| 16.575 | 2 | 1.3% |
| 12.025 | 2 | 1.3% |
| 41.45 | 1 | 0.6% |
| 20.43 | 1 | 0.6% |
| 14.795 | 1 | 0.6% |
| 26.05 | 1 | 0.6% |
| 58.6 | 1 | 0.6% |
| 50.375 | 1 | 0.6% |
| Other values (107) | 107 | |
| (Missing) | 36 | 22.9% |
| Value | Count | Frequency (%) |
| 5.16 | 1 | |
| 5.86 | 1 | |
| 7.425 | 1 | |
| 7.75 | 2 | |
| 7.825 | 1 | |
| 7.85 | 1 | |
| 8.325 | 1 | |
| 8.45 | 1 | |
| 8.8 | 1 | |
| 8.835 | 1 |
| Value | Count | Frequency (%) |
| 67.55 | 1 | |
| 60.625 | 1 | |
| 58.6 | 1 | |
| 58.47 | 1 | |
| 50.375 | 1 | |
| 41.45 | 1 | |
| 41.25 | 1 | |
| 40.375 | 1 | |
| 39 | 1 | |
| 36.225 | 1 |
Vehicle_type
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| Passenger | |
|---|---|
| Car |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 7.433121 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1167 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Passenger |
|---|---|
| 2nd row | Passenger |
| 3rd row | Passenger |
| 4th row | Passenger |
| 5th row | Passenger |
Common Values
| Value | Count | Frequency (%) |
| Passenger | 116 | |
| Car | 41 | 26.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| passenger | 116 | |
| car | 41 | 26.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 232 | |
| e | 232 | |
| a | 157 | |
| r | 157 | |
| P | 116 | |
| n | 116 | |
| g | 116 | |
| C | 41 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1010 | |
| Uppercase Letter | 157 | 13.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 232 | |
| e | 232 | |
| a | 157 | |
| r | 157 | |
| n | 116 | |
| g | 116 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 116 | |
| C | 41 | 26.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1167 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 232 | |
| e | 232 | |
| a | 157 | |
| r | 157 | |
| P | 116 | |
| n | 116 | |
| g | 116 | |
| C | 41 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1167 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 232 | |
| e | 232 | |
| a | 157 | |
| r | 157 | |
| P | 116 | |
| n | 116 | |
| g | 116 | |
| C | 41 | 3.5% |
Price_in_thousands
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 152 |
|---|---|
| Distinct (%) | 98.1% |
| Missing | 2 |
| Missing (%) | 1.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.390755 |
| Minimum | 9.235 |
|---|---|
| Maximum | 85.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 9.235 |
|---|---|
| 5-th percentile | 12.469 |
| Q1 | 18.0175 |
| median | 22.799 |
| Q3 | 31.9475 |
| 95-th percentile | 55.835 |
| Maximum | 85.5 |
| Range | 76.265 |
| Interquartile range (IQR) | 13.93 |
Descriptive statistics
| Standard deviation | 14.351653 |
|---|---|
| Coefficient of variation (CV) | 0.52395975 |
| Kurtosis | 3.6304123 |
| Mean | 27.390755 |
| Median Absolute Deviation (MAD) | 6.099 |
| Skewness | 1.7657343 |
| Sum | 4245.567 |
| Variance | 205.96995 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18.89 | 2 | 1.3% |
| 38.9 | 2 | 1.3% |
| 12.64 | 2 | 1.3% |
| 24.15 | 1 | 0.6% |
| 20.39 | 1 | 0.6% |
| 26.249 | 1 | 0.6% |
| 26.399 | 1 | 0.6% |
| 29.299 | 1 | 0.6% |
| 22.799 | 1 | 0.6% |
| 17.89 | 1 | 0.6% |
| Other values (142) | 142 | |
| (Missing) | 2 | 1.3% |
| Value | Count | Frequency (%) |
| 9.235 | 1 | |
| 9.699 | 1 | |
| 10.685 | 1 | |
| 11.528 | 1 | |
| 11.799 | 1 | |
| 12.05 | 1 | |
| 12.07 | 1 | |
| 12.315 | 1 | |
| 12.535 | 1 | |
| 12.64 | 2 |
| Value | Count | Frequency (%) |
| 85.5 | 1 | |
| 82.6 | 1 | |
| 74.97 | 1 | |
| 71.02 | 1 | |
| 69.725 | 1 | |
| 69.7 | 1 | |
| 62 | 1 | |
| 60.105 | 1 | |
| 54.005 | 1 | |
| 51.728 | 1 |
Engine_size
Real number (ℝ)
| Distinct | 31 |
|---|---|
| Distinct (%) | 19.9% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.0608974 |
| Minimum | 1 |
|---|---|
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.8 |
| Q1 | 2.3 |
| median | 3 |
| Q3 | 3.575 |
| 95-th percentile | 4.775 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 1.275 |
Descriptive statistics
| Standard deviation | 1.044653 |
|---|---|
| Coefficient of variation (CV) | 0.34128977 |
| Kurtosis | 2.344782 |
| Mean | 3.0608974 |
| Median Absolute Deviation (MAD) | 0.7 |
| Skewness | 1.1004473 |
| Sum | 477.5 |
| Variance | 1.0912998 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 2 | 17 | 10.8% |
| 3 | 14 | 8.9% |
| 2.4 | 11 | 7.0% |
| 2.5 | 11 | 7.0% |
| 4.6 | 9 | 5.7% |
| 1.8 | 8 | 5.1% |
| 3.5 | 8 | 5.1% |
| 3.8 | 8 | 5.1% |
| 4 | 7 | 4.5% |
| 3.4 | 7 | 4.5% |
| Other values (21) | 56 |
| Value | Count | Frequency (%) |
| 1 | 1 | 0.6% |
| 1.5 | 1 | 0.6% |
| 1.6 | 1 | 0.6% |
| 1.8 | 8 | |
| 1.9 | 5 | 3.2% |
| 2 | 17 | |
| 2.2 | 4 | 2.5% |
| 2.3 | 6 | 3.8% |
| 2.4 | 11 | |
| 2.5 | 11 |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.6% |
| 5.7 | 2 | 1.3% |
| 5.4 | 1 | 0.6% |
| 5.2 | 2 | 1.3% |
| 5 | 2 | 1.3% |
| 4.7 | 2 | 1.3% |
| 4.6 | 9 | |
| 4.3 | 2 | 1.3% |
| 4.2 | 1 | 0.6% |
| 4 | 7 |
Horsepower
Real number (ℝ)
| Distinct | 66 |
|---|---|
| Distinct (%) | 42.3% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 185.94872 |
| Minimum | 55 |
|---|---|
| Maximum | 450 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 55 |
|---|---|
| 5-th percentile | 114.5 |
| Q1 | 149.5 |
| median | 177.5 |
| Q3 | 215 |
| 95-th percentile | 300 |
| Maximum | 450 |
| Range | 395 |
| Interquartile range (IQR) | 65.5 |
Descriptive statistics
| Standard deviation | 56.700321 |
|---|---|
| Coefficient of variation (CV) | 0.30492451 |
| Kurtosis | 2.4066575 |
| Mean | 185.94872 |
| Median Absolute Deviation (MAD) | 32.5 |
| Skewness | 1.000695 |
| Sum | 29008 |
| Variance | 3214.9264 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 150 | 9 | 5.7% |
| 170 | 9 | 5.7% |
| 200 | 8 | 5.1% |
| 210 | 7 | 4.5% |
| 115 | 6 | 3.8% |
| 185 | 5 | 3.2% |
| 175 | 5 | 3.2% |
| 275 | 5 | 3.2% |
| 120 | 4 | 2.5% |
| 190 | 4 | 2.5% |
| Other values (56) | 94 |
| Value | Count | Frequency (%) |
| 55 | 1 | 0.6% |
| 92 | 1 | 0.6% |
| 100 | 2 | 1.3% |
| 106 | 1 | 0.6% |
| 107 | 1 | 0.6% |
| 110 | 1 | 0.6% |
| 113 | 1 | 0.6% |
| 115 | 6 | |
| 119 | 1 | 0.6% |
| 120 | 4 |
| Value | Count | Frequency (%) |
| 450 | 1 | 0.6% |
| 345 | 1 | 0.6% |
| 310 | 1 | 0.6% |
| 302 | 2 | 1.3% |
| 300 | 4 | |
| 290 | 1 | 0.6% |
| 275 | 5 | |
| 255 | 1 | 0.6% |
| 253 | 3 | |
| 250 | 1 | 0.6% |
Wheelbase
Real number (ℝ)
| Distinct | 88 |
|---|---|
| Distinct (%) | 56.4% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 107.48718 |
| Minimum | 92.6 |
|---|---|
| Maximum | 138.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 92.6 |
|---|---|
| 5-th percentile | 95.875 |
| Q1 | 103 |
| median | 107 |
| Q3 | 112.2 |
| 95-th percentile | 119.25 |
| Maximum | 138.7 |
| Range | 46.1 |
| Interquartile range (IQR) | 9.2 |
Descriptive statistics
| Standard deviation | 7.641303 |
|---|---|
| Coefficient of variation (CV) | 0.071090367 |
| Kurtosis | 2.8592849 |
| Mean | 107.48718 |
| Median Absolute Deviation (MAD) | 4.6 |
| Skewness | 0.96993566 |
| Sum | 16768 |
| Variance | 58.389512 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 112.2 | 8 | 5.1% |
| 107 | 5 | 3.2% |
| 113 | 5 | 3.2% |
| 102.4 | 4 | 2.5% |
| 109 | 4 | 2.5% |
| 106.5 | 4 | 2.5% |
| 108 | 4 | 2.5% |
| 98.9 | 4 | 2.5% |
| 106.4 | 4 | 2.5% |
| 107.3 | 4 | 2.5% |
| Other values (78) | 110 |
| Value | Count | Frequency (%) |
| 92.6 | 2 | |
| 93.1 | 1 | |
| 93.4 | 1 | |
| 94.5 | 2 | |
| 94.9 | 1 | |
| 95.2 | 1 | |
| 96.1 | 1 | |
| 96.2 | 1 | |
| 97 | 1 | |
| 97.1 | 1 |
| Value | Count | Frequency (%) |
| 138.7 | 1 | |
| 138.5 | 1 | |
| 131 | 1 | |
| 127.2 | 1 | |
| 121.5 | 1 | |
| 120.7 | 1 | |
| 120 | 2 | |
| 119 | 2 | |
| 118.1 | 1 | |
| 117.7 | 1 |
Width
Real number (ℝ)
| Distinct | 78 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 71.15 |
| Minimum | 62.6 |
|---|---|
| Maximum | 79.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 62.6 |
|---|---|
| 5-th percentile | 66.5 |
| Q1 | 68.4 |
| median | 70.55 |
| Q3 | 73.425 |
| 95-th percentile | 78.2 |
| Maximum | 79.9 |
| Range | 17.3 |
| Interquartile range (IQR) | 5.025 |
Descriptive statistics
| Standard deviation | 3.4518719 |
|---|---|
| Coefficient of variation (CV) | 0.048515416 |
| Kurtosis | -0.30046753 |
| Mean | 71.15 |
| Median Absolute Deviation (MAD) | 2.4 |
| Skewness | 0.48386207 |
| Sum | 11099.4 |
| Variance | 11.915419 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 66.7 | 6 | 3.8% |
| 74.4 | 6 | 3.8% |
| 68.3 | 5 | 3.2% |
| 70.3 | 5 | 3.2% |
| 72.7 | 5 | 3.2% |
| 69.1 | 4 | 2.5% |
| 69.4 | 4 | 2.5% |
| 66.5 | 4 | 2.5% |
| 67.5 | 3 | 1.9% |
| 73.6 | 3 | 1.9% |
| Other values (68) | 111 |
| Value | Count | Frequency (%) |
| 62.6 | 1 | 0.6% |
| 65.7 | 1 | 0.6% |
| 66.4 | 3 | |
| 66.5 | 4 | |
| 66.7 | 6 | |
| 66.9 | 2 | 1.3% |
| 67 | 1 | 0.6% |
| 67.1 | 1 | 0.6% |
| 67.3 | 2 | 1.3% |
| 67.4 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 79.9 | 1 | 0.6% |
| 79.3 | 1 | 0.6% |
| 79.1 | 1 | 0.6% |
| 78.8 | 2 | |
| 78.7 | 1 | 0.6% |
| 78.2 | 3 | |
| 77 | 1 | 0.6% |
| 76.8 | 2 | |
| 76.6 | 1 | 0.6% |
| 76.4 | 2 |
Length
Real number (ℝ)
| Distinct | 127 |
|---|---|
| Distinct (%) | 81.4% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 187.34359 |
| Minimum | 149.4 |
|---|---|
| Maximum | 224.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 149.4 |
|---|---|
| 5-th percentile | 163.675 |
| Q1 | 177.575 |
| median | 187.9 |
| Q3 | 196.125 |
| 95-th percentile | 208.5 |
| Maximum | 224.5 |
| Range | 75.1 |
| Interquartile range (IQR) | 18.55 |
Descriptive statistics
| Standard deviation | 13.431754 |
|---|---|
| Coefficient of variation (CV) | 0.071695831 |
| Kurtosis | 0.30257402 |
| Mean | 187.34359 |
| Median Absolute Deviation (MAD) | 9.4 |
| Skewness | -0.059046823 |
| Sum | 29225.6 |
| Variance | 180.41202 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 186.3 | 4 | 2.5% |
| 189.2 | 3 | 1.9% |
| 192 | 3 | 1.9% |
| 190.4 | 3 | 1.9% |
| 163.3 | 2 | 1.3% |
| 192.5 | 2 | 1.3% |
| 174 | 2 | 1.3% |
| 212 | 2 | 1.3% |
| 193.5 | 2 | 1.3% |
| 208.5 | 2 | 1.3% |
| Other values (117) | 131 |
| Value | Count | Frequency (%) |
| 149.4 | 1 | |
| 152 | 1 | |
| 157.3 | 1 | |
| 157.9 | 1 | |
| 160.4 | 1 | |
| 161.1 | 1 | |
| 163.3 | 2 | |
| 163.8 | 1 | |
| 165.4 | 1 | |
| 166.7 | 1 |
| Value | Count | Frequency (%) |
| 224.5 | 1 | |
| 224.2 | 1 | |
| 215.3 | 1 | |
| 215 | 1 | |
| 212 | 2 | |
| 209.1 | 1 | |
| 208.5 | 2 | |
| 207.7 | 1 | |
| 207.2 | 1 | |
| 206.8 | 1 |
Curb_weight
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 147 |
|---|---|
| Distinct (%) | 94.8% |
| Missing | 2 |
| Missing (%) | 1.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.3780258 |
| Minimum | 1.895 |
|---|---|
| Maximum | 5.572 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 1.895 |
|---|---|
| 5-th percentile | 2.4235 |
| Q1 | 2.971 |
| median | 3.342 |
| Q3 | 3.7995 |
| 95-th percentile | 4.3891 |
| Maximum | 5.572 |
| Range | 3.677 |
| Interquartile range (IQR) | 0.8285 |
Descriptive statistics
| Standard deviation | 0.63050163 |
|---|---|
| Coefficient of variation (CV) | 0.18664796 |
| Kurtosis | 1.2654536 |
| Mean | 3.3780258 |
| Median Absolute Deviation (MAD) | 0.41 |
| Skewness | 0.70815824 |
| Sum | 523.594 |
| Variance | 0.39753231 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.769 | 3 | 1.9% |
| 2.998 | 3 | 1.9% |
| 2.91 | 2 | 1.3% |
| 3.075 | 2 | 1.3% |
| 3.876 | 2 | 1.3% |
| 3.368 | 2 | 1.3% |
| 3.455 | 1 | 0.6% |
| 2.958 | 1 | 0.6% |
| 3.102 | 1 | 0.6% |
| 4.387 | 1 | 0.6% |
| Other values (137) | 137 | |
| (Missing) | 2 | 1.3% |
| Value | Count | Frequency (%) |
| 1.895 | 1 | |
| 2.24 | 1 | |
| 2.25 | 1 | |
| 2.332 | 1 | |
| 2.339 | 1 | |
| 2.367 | 1 | |
| 2.398 | 1 | |
| 2.42 | 1 | |
| 2.425 | 1 | |
| 2.452 | 1 |
| Value | Count | Frequency (%) |
| 5.572 | 1 | |
| 5.401 | 1 | |
| 5.393 | 1 | |
| 5.115 | 1 | |
| 4.808 | 1 | |
| 4.52 | 1 | |
| 4.47 | 1 | |
| 4.394 | 1 | |
| 4.387 | 1 | |
| 4.298 | 1 |
Fuel_capacity
Real number (ℝ)
| Distinct | 55 |
|---|---|
| Distinct (%) | 35.3% |
| Missing | 1 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 17.951923 |
| Minimum | 10.3 |
|---|---|
| Maximum | 32 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 10.3 |
|---|---|
| 5-th percentile | 12.5 |
| Q1 | 15.8 |
| median | 17.2 |
| Q3 | 19.575 |
| 95-th percentile | 25.4 |
| Maximum | 32 |
| Range | 21.7 |
| Interquartile range (IQR) | 3.775 |
Descriptive statistics
| Standard deviation | 3.8879213 |
|---|---|
| Coefficient of variation (CV) | 0.21657408 |
| Kurtosis | 2.0728132 |
| Mean | 17.951923 |
| Median Absolute Deviation (MAD) | 1.9 |
| Skewness | 1.1367124 |
| Sum | 2800.5 |
| Variance | 15.115932 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18.5 | 14 | 8.9% |
| 17 | 9 | 5.7% |
| 20 | 8 | 5.1% |
| 19 | 8 | 5.1% |
| 16 | 7 | 4.5% |
| 13.2 | 6 | 3.8% |
| 15.9 | 6 | 3.8% |
| 15 | 5 | 3.2% |
| 14.5 | 5 | 3.2% |
| 17.5 | 5 | 3.2% |
| Other values (45) | 83 |
| Value | Count | Frequency (%) |
| 10.3 | 1 | 0.6% |
| 11.9 | 2 | 1.3% |
| 12 | 1 | 0.6% |
| 12.1 | 3 | |
| 12.5 | 2 | 1.3% |
| 12.7 | 1 | 0.6% |
| 13.1 | 2 | 1.3% |
| 13.2 | 6 | |
| 13.7 | 1 | 0.6% |
| 14 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 32 | 2 | |
| 30 | 2 | |
| 26 | 3 | |
| 25.4 | 2 | |
| 25.1 | 1 | 0.6% |
| 25 | 3 | |
| 24.3 | 1 | 0.6% |
| 23.7 | 1 | 0.6% |
| 23.2 | 2 | |
| 22.5 | 1 | 0.6% |
Fuel_efficiency
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 20 |
|---|---|
| Distinct (%) | 13.0% |
| Missing | 3 |
| Missing (%) | 1.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 23.844156 |
| Minimum | 15 |
|---|---|
| Maximum | 45 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 16.65 |
| Q1 | 21 |
| median | 24 |
| Q3 | 26 |
| 95-th percentile | 31 |
| Maximum | 45 |
| Range | 30 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.2827056 |
|---|---|
| Coefficient of variation (CV) | 0.17961238 |
| Kurtosis | 3.2411308 |
| Mean | 23.844156 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.69232776 |
| Sum | 3672 |
| Variance | 18.341567 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 25 | 23 | |
| 24 | 16 | |
| 27 | 15 | |
| 22 | 14 | |
| 21 | 14 | |
| 23 | 14 | |
| 26 | 12 | 7.6% |
| 19 | 6 | 3.8% |
| 20 | 5 | 3.2% |
| 15 | 5 | 3.2% |
| Other values (10) | 30 |
| Value | Count | Frequency (%) |
| 15 | 5 | 3.2% |
| 16 | 3 | 1.9% |
| 17 | 3 | 1.9% |
| 18 | 5 | 3.2% |
| 19 | 6 | 3.8% |
| 20 | 5 | 3.2% |
| 21 | 14 | |
| 22 | 14 | |
| 23 | 14 | |
| 24 | 16 |
| Value | Count | Frequency (%) |
| 45 | 1 | 0.6% |
| 33 | 4 | 2.5% |
| 32 | 1 | 0.6% |
| 31 | 3 | 1.9% |
| 30 | 5 | 3.2% |
| 29 | 2 | 1.3% |
| 28 | 3 | 1.9% |
| 27 | 15 | |
| 26 | 12 | |
| 25 | 23 |
Latest_Launch
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 130 |
|---|---|
| Distinct (%) | 82.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 10/5/2012 | 2 |
|---|---|
| 1/24/2011 | 2 |
| 4/26/2011 | 2 |
| 6/25/2011 | 2 |
| 9/21/2011 | 2 |
| Other values (125) |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 8.9681529 |
| Min length | 8 |
Characters and Unicode
| Total characters | 1408 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 103 ? |
|---|---|
| Unique (%) | 65.6% |
Sample
| 1st row | 2/2/2012 |
|---|---|
| 2nd row | 6/3/2011 |
| 3rd row | 1/4/2012 |
| 4th row | 3/10/2011 |
| 5th row | 10/8/2011 |
Common Values
| Value | Count | Frequency (%) |
| 10/5/2012 | 2 | 1.3% |
| 1/24/2011 | 2 | 1.3% |
| 4/26/2011 | 2 | 1.3% |
| 6/25/2011 | 2 | 1.3% |
| 9/21/2011 | 2 | 1.3% |
| 2/18/2011 | 2 | 1.3% |
| 4/1/2011 | 2 | 1.3% |
| 5/31/2011 | 2 | 1.3% |
| 8/27/2011 | 2 | 1.3% |
| 9/25/2011 | 2 | 1.3% |
| Other values (120) | 137 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 10/5/2012 | 2 | 1.3% |
| 8/31/2011 | 2 | 1.3% |
| 1/24/2011 | 2 | 1.3% |
| 10/30/2012 | 2 | 1.3% |
| 2/23/2012 | 2 | 1.3% |
| 11/24/2012 | 2 | 1.3% |
| 8/16/2012 | 2 | 1.3% |
| 1/4/2012 | 2 | 1.3% |
| 9/10/2012 | 2 | 1.3% |
| 4/24/2011 | 2 | 1.3% |
| Other values (120) | 137 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 365 | |
| 2 | 325 | |
| / | 314 | |
| 0 | 190 | |
| 3 | 36 | 2.6% |
| 4 | 34 | 2.4% |
| 6 | 33 | 2.3% |
| 8 | 30 | 2.1% |
| 9 | 28 | 2.0% |
| 7 | 27 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1094 | |
| Other Punctuation | 314 | 22.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 365 | |
| 2 | 325 | |
| 0 | 190 | |
| 3 | 36 | 3.3% |
| 4 | 34 | 3.1% |
| 6 | 33 | 3.0% |
| 8 | 30 | 2.7% |
| 9 | 28 | 2.6% |
| 7 | 27 | 2.5% |
| 5 | 26 | 2.4% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 314 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1408 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 365 | |
| 2 | 325 | |
| / | 314 | |
| 0 | 190 | |
| 3 | 36 | 2.6% |
| 4 | 34 | 2.4% |
| 6 | 33 | 2.3% |
| 8 | 30 | 2.1% |
| 9 | 28 | 2.0% |
| 7 | 27 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1408 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 365 | |
| 2 | 325 | |
| / | 314 | |
| 0 | 190 | |
| 3 | 36 | 2.6% |
| 4 | 34 | 2.4% |
| 6 | 33 | 2.3% |
| 8 | 30 | 2.1% |
| 9 | 28 | 2.0% |
| 7 | 27 | 1.9% |
Power_perf_factor
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 154 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 2 |
| Missing (%) | 1.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 77.043591 |
| Minimum | 23.276272 |
|---|---|
| Maximum | 188.14432 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 KiB |
Quantile statistics
| Minimum | 23.276272 |
|---|---|
| 5-th percentile | 46.203997 |
| Q1 | 60.407707 |
| median | 72.030917 |
| Q3 | 89.414878 |
| 95-th percentile | 125.09151 |
| Maximum | 188.14432 |
| Range | 164.86805 |
| Interquartile range (IQR) | 29.007171 |
Descriptive statistics
| Standard deviation | 25.142664 |
|---|---|
| Coefficient of variation (CV) | 0.32634336 |
| Kurtosis | 2.0812929 |
| Mean | 77.043591 |
| Median Absolute Deviation (MAD) | 14.241606 |
| Skewness | 1.070635 |
| Sum | 11941.757 |
| Variance | 632.15356 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 52.08489875 | 2 | 1.3% |
| 58.28014952 | 1 | 0.6% |
| 86.27252291 | 1 | 0.6% |
| 63.31372783 | 1 | 0.6% |
| 89.42782031 | 1 | 0.6% |
| 71.17166413 | 1 | 0.6% |
| 72.29035508 | 1 | 0.6% |
| 69.78294434 | 1 | 0.6% |
| 67.88927059 | 1 | 0.6% |
| 60.86161155 | 1 | 0.6% |
| Other values (144) | 144 | |
| (Missing) | 2 | 1.3% |
| Value | Count | Frequency (%) |
| 23.27627233 | 1 | |
| 36.67228358 | 1 | |
| 39.98642475 | 1 | |
| 40.70007242 | 1 | |
| 42.87909734 | 1 | |
| 43.11713201 | 1 | |
| 44.08370946 | 1 | |
| 45.83218056 | 1 | |
| 46.36334747 | 1 | |
| 46.94387676 | 1 |
| Value | Count | Frequency (%) |
| 188.144323 | 1 | |
| 141.14115 | 1 | |
| 141.1009845 | 1 | |
| 139.9822936 | 1 | |
| 135.9147096 | 1 | |
| 134.6568582 | 1 | |
| 134.3909754 | 1 | |
| 125.2738757 | 1 | |
| 125.0133574 | 1 | |
| 124.4467163 | 1 |
| Sales_in_thousands | four_year_resale_value | Price_in_thousands | Engine_size | Horsepower | Wheelbase | Width | Length | Curb_weight | Fuel_capacity | Fuel_efficiency | Power_perf_factor | Manufacturer | Vehicle_type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sales_in_thousands | 1.000 | -0.448 | -0.492 | -0.082 | -0.320 | 0.160 | 0.017 | 0.139 | -0.064 | -0.044 | 0.133 | -0.357 | 0.000 | 0.168 |
| four_year_resale_value | -0.448 | 1.000 | 0.918 | 0.603 | 0.770 | 0.242 | 0.336 | 0.236 | 0.619 | 0.607 | -0.569 | 0.808 | 0.299 | 0.243 |
| Price_in_thousands | -0.492 | 0.918 | 1.000 | 0.667 | 0.887 | 0.337 | 0.454 | 0.305 | 0.682 | 0.596 | -0.613 | 0.926 | 0.306 | 0.134 |
| Engine_size | -0.082 | 0.603 | 0.667 | 1.000 | 0.833 | 0.608 | 0.720 | 0.641 | 0.829 | 0.741 | -0.784 | 0.815 | 0.283 | 0.321 |
| Horsepower | -0.320 | 0.770 | 0.887 | 0.833 | 1.000 | 0.486 | 0.616 | 0.501 | 0.734 | 0.635 | -0.657 | 0.994 | 0.247 | 0.000 |
| Wheelbase | 0.160 | 0.242 | 0.337 | 0.608 | 0.486 | 1.000 | 0.710 | 0.852 | 0.728 | 0.660 | -0.510 | 0.465 | 0.000 | 0.459 |
| Width | 0.017 | 0.336 | 0.454 | 0.720 | 0.616 | 0.710 | 1.000 | 0.716 | 0.721 | 0.635 | -0.562 | 0.596 | 0.157 | 0.387 |
| Length | 0.139 | 0.236 | 0.305 | 0.641 | 0.501 | 0.852 | 0.716 | 1.000 | 0.701 | 0.599 | -0.439 | 0.467 | 0.181 | 0.000 |
| Curb_weight | -0.064 | 0.619 | 0.682 | 0.829 | 0.734 | 0.728 | 0.721 | 0.701 | 1.000 | 0.876 | -0.797 | 0.734 | 0.129 | 0.520 |
| Fuel_capacity | -0.044 | 0.607 | 0.596 | 0.741 | 0.635 | 0.660 | 0.635 | 0.599 | 0.876 | 1.000 | -0.823 | 0.637 | 0.214 | 0.647 |
| Fuel_efficiency | 0.133 | -0.569 | -0.613 | -0.784 | -0.657 | -0.510 | -0.562 | -0.439 | -0.797 | -0.823 | 1.000 | -0.660 | 0.207 | 0.640 |
| Power_perf_factor | -0.357 | 0.808 | 0.926 | 0.815 | 0.994 | 0.465 | 0.596 | 0.467 | 0.734 | 0.637 | -0.660 | 1.000 | 0.294 | 0.000 |
| Manufacturer | 0.000 | 0.299 | 0.306 | 0.283 | 0.247 | 0.000 | 0.157 | 0.181 | 0.129 | 0.214 | 0.207 | 0.294 | 1.000 | 0.333 |
| Vehicle_type | 0.168 | 0.243 | 0.134 | 0.321 | 0.000 | 0.459 | 0.387 | 0.000 | 0.520 | 0.647 | 0.640 | 0.000 | 0.333 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Manufacturer | Model | Sales_in_thousands | four_year_resale_value | Vehicle_type | Price_in_thousands | Engine_size | Horsepower | Wheelbase | Width | Length | Curb_weight | Fuel_capacity | Fuel_efficiency | Latest_Launch | Power_perf_factor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Acura | Integra | 16.919 | 16.360 | Passenger | 21.50 | 1.8 | 140.0 | 101.2 | 67.3 | 172.4 | 2.639 | 13.2 | 28.0 | 2/2/2012 | 58.280150 |
| 1 | Acura | TL | 39.384 | 19.875 | Passenger | 28.40 | 3.2 | 225.0 | 108.1 | 70.3 | 192.9 | 3.517 | 17.2 | 25.0 | 6/3/2011 | 91.370778 |
| 2 | Acura | CL | 14.114 | 18.225 | Passenger | NaN | 3.2 | 225.0 | 106.9 | 70.6 | 192.0 | 3.470 | 17.2 | 26.0 | 1/4/2012 | NaN |
| 3 | Acura | RL | 8.588 | 29.725 | Passenger | 42.00 | 3.5 | 210.0 | 114.6 | 71.4 | 196.6 | 3.850 | 18.0 | 22.0 | 3/10/2011 | 91.389779 |
| 4 | Audi | A4 | 20.397 | 22.255 | Passenger | 23.99 | 1.8 | 150.0 | 102.6 | 68.2 | 178.0 | 2.998 | 16.4 | 27.0 | 10/8/2011 | 62.777639 |
| 5 | Audi | A6 | 18.780 | 23.555 | Passenger | 33.95 | 2.8 | 200.0 | 108.7 | 76.1 | 192.0 | 3.561 | 18.5 | 22.0 | 8/9/2011 | 84.565105 |
| 6 | Audi | A8 | 1.380 | 39.000 | Passenger | 62.00 | 4.2 | 310.0 | 113.0 | 74.0 | 198.2 | 3.902 | 23.7 | 21.0 | 2/27/2012 | 134.656858 |
| 7 | BMW | 323i | 19.747 | NaN | Passenger | 26.99 | 2.5 | 170.0 | 107.3 | 68.4 | 176.0 | 3.179 | 16.6 | 26.0 | 6/28/2011 | 71.191207 |
| 8 | BMW | 328i | 9.231 | 28.675 | Passenger | 33.40 | 2.8 | 193.0 | 107.3 | 68.5 | 176.0 | 3.197 | 16.6 | 24.0 | 1/29/2012 | 81.877069 |
| 9 | BMW | 528i | 17.527 | 36.125 | Passenger | 38.90 | 2.8 | 193.0 | 111.4 | 70.9 | 188.0 | 3.472 | 18.5 | 25.0 | 4/4/2011 | 83.998724 |
| Manufacturer | Model | Sales_in_thousands | four_year_resale_value | Vehicle_type | Price_in_thousands | Engine_size | Horsepower | Wheelbase | Width | Length | Curb_weight | Fuel_capacity | Fuel_efficiency | Latest_Launch | Power_perf_factor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 147 | Volkswagen | Passat | 51.102 | 16.725 | Passenger | 21.20 | 1.8 | 150.0 | 106.4 | 68.5 | 184.1 | 3.043 | 16.4 | 27.0 | 10/30/2012 | 61.701381 |
| 148 | Volkswagen | Cabrio | 9.569 | 16.575 | Passenger | 19.99 | 2.0 | 115.0 | 97.4 | 66.7 | 160.4 | 3.079 | 13.7 | 26.0 | 5/31/2011 | 48.907372 |
| 149 | Volkswagen | GTI | 5.596 | 13.760 | Passenger | 17.50 | 2.0 | 115.0 | 98.9 | 68.3 | 163.3 | 2.762 | 14.6 | 26.0 | 4/1/2011 | 47.946841 |
| 150 | Volkswagen | Beetle | 49.463 | NaN | Passenger | 15.90 | 2.0 | 115.0 | 98.9 | 67.9 | 161.1 | 2.769 | 14.5 | 26.0 | 10/20/2011 | 47.329632 |
| 151 | Volvo | S40 | 16.957 | NaN | Passenger | 23.40 | 1.9 | 160.0 | 100.5 | 67.6 | 176.6 | 2.998 | 15.8 | 25.0 | 2/18/2011 | 66.113057 |
| 152 | Volvo | V40 | 3.545 | NaN | Passenger | 24.40 | 1.9 | 160.0 | 100.5 | 67.6 | 176.6 | 3.042 | 15.8 | 25.0 | 9/21/2011 | 66.498812 |
| 153 | Volvo | S70 | 15.245 | NaN | Passenger | 27.50 | 2.4 | 168.0 | 104.9 | 69.3 | 185.9 | 3.208 | 17.9 | 25.0 | 11/24/2012 | 70.654495 |
| 154 | Volvo | V70 | 17.531 | NaN | Passenger | 28.80 | 2.4 | 168.0 | 104.9 | 69.3 | 186.2 | 3.259 | 17.9 | 25.0 | 6/25/2011 | 71.155978 |
| 155 | Volvo | C70 | 3.493 | NaN | Passenger | 45.50 | 2.3 | 236.0 | 104.9 | 71.5 | 185.7 | 3.601 | 18.5 | 23.0 | 4/26/2011 | 101.623357 |
| 156 | Volvo | S80 | 18.969 | NaN | Passenger | 36.00 | 2.9 | 201.0 | 109.9 | 72.1 | 189.8 | 3.600 | 21.1 | 24.0 | 11/14/2011 | 85.735655 |